{"instruction": "You are an expert in relationship extraction. Please extract relationship triples that match the schema definition from the input. Return an empty list for relationships that do not exist. Please respond in the format of a JSON string.", "schema": ["conjunction", "hyponym of", "feature of", "compare", "used for"], "input": "We focus on FAQ-like questions and answers , and build our system around a noisy-channel architecture which exploits both a language model for answers and a transformation model for answer/question terms , trained on a corpus of 1 million question/answer pairs collected from the Web ."}
{"conjunction": [], "hyponym of": [], "feature of": [], "compare": [], "used for": [{"subject": "system", "object": "FAQ-like questions and answers"}, {"subject": "noisy-channel architecture", "object": "system"}, {"subject": "noisy-channel architecture", "object": "language model"}, {"subject": "noisy-channel architecture", "object": "transformation model"}]}